Effective use of Graph Convolution Network and contextual sub-tree for commodity news event extraction

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

3 Citations (Scopus)

Abstract

Event extraction in commodity news is a less researched area as compared to generic event extraction. However, accurate event extraction from commodity news is useful in a broad range of applications such as understanding event chains and learning event-event relations, which can then be used for commodity price prediction. The events found in commodity news exhibit characteristics different from generic events, hence posing a unique challenge in event extraction using existing methods. This paper proposes an effective use of Graph Convolutional Networks (GCN) with a pruned dependency parse tree, termed contextual sub-tree, for better event extraction in commodity news. The event extraction model is trained using feature embeddings from ComBERT, a BERT-based masked language model that was produced through domain-adaptive pre-training on a commodity news corpus. Experimental results show the efficiency of the proposed solution, which outperforms existing methods with F1 scores as high as 0.90. Furthermore, our pre-trained language model outperforms GloVe by 23%, and BERT and RoBERTa by 7% in terms of argument roles classification. For the goal of reproducibility, the code and trained models are made publicly available.

Original languageEnglish
Title of host publicationProceedings of the Third Workshop on Economics and Natural Language Processing (ECONLP 2021)
EditorsUdo Hahn, Veronique Hoste, Amanda Stent
Place of PublicationStroudsburg PA USA
PublisherAssociation for Computational Linguistics (ACL)
Pages69-81
Number of pages13
ISBN (Electronic)9781954085848
DOIs
Publication statusPublished - 2021
EventWorkshop on Economics and Natural Language Processing 2021 - Virtual, Punta Cana, Dominican Republic
Duration: 11 Nov 202111 Nov 2021
Conference number: 3rd
https://aclanthology.org/2021.econlp-1.0/ (Proceedings)

Conference

ConferenceWorkshop on Economics and Natural Language Processing 2021
Abbreviated titleECONLP 2021
Country/TerritoryDominican Republic
CityVirtual, Punta Cana
Period11/11/2111/11/21
Internet address

Keywords

  • of Graph Convolution Network
  • Contextual Sub-Tree
  • News Event Extraction
  • Artificial inteligence
  • Neural Networks
  • Computer science

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